WO2004048513A3 - Artificial neural systems with dynamic synapses - Google Patents

Artificial neural systems with dynamic synapses Download PDF

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Publication number
WO2004048513A3
WO2004048513A3 PCT/US2003/014057 US0314057W WO2004048513A3 WO 2004048513 A3 WO2004048513 A3 WO 2004048513A3 US 0314057 W US0314057 W US 0314057W WO 2004048513 A3 WO2004048513 A3 WO 2004048513A3
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WO
WIPO (PCT)
Prior art keywords
artificial neural
producing
neural systems
impulse
signal processing
Prior art date
Application number
PCT/US2003/014057
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French (fr)
Other versions
WO2004048513A2 (en
Inventor
Jim-Shih Liaw
Original Assignee
Univ Southern California
Jim-Shih Liaw
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Southern California, Jim-Shih Liaw filed Critical Univ Southern California
Priority to AU2003302422A priority Critical patent/AU2003302422A1/en
Publication of WO2004048513A2 publication Critical patent/WO2004048513A2/en
Publication of WO2004048513A3 publication Critical patent/WO2004048513A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Networks Using Active Elements (AREA)

Abstract

Artificial neural network systems (100) where each signal processing junction connected between signal processing elements is operable to, in response to a received impulse action potential, operate in at least one of three permitted manners: A) producing one single corresponding impulse, B) producing no corresponding impulse, and C) producing two or more corresponding impulses (310). A preprocessing module (1120) may be used to filter the input signal to such networks. Various control mechanism may be implemented.
PCT/US2003/014057 2002-05-03 2003-05-05 Artificial neural systems with dynamic synapses WO2004048513A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2003302422A AU2003302422A1 (en) 2002-05-03 2003-05-05 Artificial neural systems with dynamic synapses

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US37741002P 2002-05-03 2002-05-03
US60/377,410 2002-05-03

Publications (2)

Publication Number Publication Date
WO2004048513A2 WO2004048513A2 (en) 2004-06-10
WO2004048513A3 true WO2004048513A3 (en) 2005-02-24

Family

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Application Number Title Priority Date Filing Date
PCT/US2003/014057 WO2004048513A2 (en) 2002-05-03 2003-05-05 Artificial neural systems with dynamic synapses

Country Status (3)

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US (1) US20030208451A1 (en)
AU (1) AU2003302422A1 (en)
WO (1) WO2004048513A2 (en)

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EP3771103A1 (en) 2009-07-28 2021-01-27 Ecole Polytechnique Federale de Lausanne (EPFL) Encoding, decoding and storing of information
WO2011012158A1 (en) 2009-07-28 2011-02-03 Ecole Polytechnique Federale De Lausanne Encoding and decoding of information
US8712940B2 (en) 2011-05-31 2014-04-29 International Business Machines Corporation Structural plasticity in spiking neural networks with symmetric dual of an electronic neuron
US8843425B2 (en) 2011-07-29 2014-09-23 International Business Machines Corporation Hierarchical routing for two-way information flow and structural plasticity in neural networks
RU2483356C1 (en) * 2011-12-06 2013-05-27 Василий Юрьевич Осипов Method for intelligent information processing in neural network
EP2849083A4 (en) * 2012-05-10 2017-05-03 Consejo Superior De Investigaciones Científicas (CSIC) Method and system for converting pulsed-processing neural network with instantaneous integration synapses into dynamic integration synapses
RU2502133C1 (en) * 2012-07-27 2013-12-20 Федеральное государственное бюджетное учреждение науки Санкт-Петербургский институт информатики и автоматизации Российской академии наук Method for intelligent information processing in neural network
RU2514931C1 (en) * 2013-01-14 2014-05-10 Василий Юрьевич Осипов Method for intelligent information processing in neural network
US9542645B2 (en) 2014-03-27 2017-01-10 Qualcomm Incorporated Plastic synapse management
US10542961B2 (en) 2015-06-15 2020-01-28 The Research Foundation For The State University Of New York System and method for infrasonic cardiac monitoring
CN107480597B (en) * 2017-07-18 2020-02-07 南京信息工程大学 Robot obstacle avoidance method based on neural network model
WO2020049182A1 (en) * 2018-09-08 2020-03-12 Alpvision S.A. Cognitive computing methods and systems based on biological neural networks
CN113807242A (en) * 2021-09-15 2021-12-17 西安电子科技大学重庆集成电路创新研究院 Cerebellum purkinje cell complex peak identification method, system, equipment and application
CN114668408B (en) * 2022-05-26 2022-08-02 中科南京智能技术研究院 Membrane potential data generation method and system

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Also Published As

Publication number Publication date
AU2003302422A8 (en) 2004-06-18
WO2004048513A2 (en) 2004-06-10
US20030208451A1 (en) 2003-11-06
AU2003302422A1 (en) 2004-06-18

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